Role of artificial intelligence-internet of things (AI-IoT) based emerging technologies in the public health response to infectious diseases in Bangladesh
Parasite Epidemiology and Control, ISSN: 2405-6731, Vol: 18, Page: e00266
2022
- 22Citations
- 150Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations22
- Citation Indexes22
- 22
- Captures150
- Readers150
- 150
Article Description
Digital technologies are the need of today to predict, prevent and control emerging infectious diseases. Bangladesh is one of the world's poorest and most densely populated countries and faces a double burden of two deadly diseases, COVID-19 and dengue. In response to both these diseases, the absence of a digital healthcare system and insufficient preparedness, lack of public awareness pose unique challenges and a large threat to the population, resulting in epidemics of escalating severity. This paper suggests a digital health care and surveillance system based on the internet of things (IoT) and artificial intelligence (AI) for timely identification of COVID-19 and dengue cases and improving the prevention and control strategies in the country.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2405673122000307; http://dx.doi.org/10.1016/j.parepi.2022.e00266; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85135921656&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/35975103; https://linkinghub.elsevier.com/retrieve/pii/S2405673122000307; https://dx.doi.org/10.1016/j.parepi.2022.e00266
Elsevier BV
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